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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_tukeylambda.wasp
Title produced by softwareTukey lambda PPCC Plot
Date of computationMon, 27 Oct 2008 04:02:06 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/27/t1225101992ijjt7zd7p7214so.htm/, Retrieved Tue, 28 May 2024 20:11:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19172, Retrieved Tue, 28 May 2024 20:11:47 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsTukey Lambda ppcc plot totaal werkzoekenden
Estimated Impact124
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Totaal % werkzoek...] [2008-10-13 16:48:54] [b635de6fc42b001d22cbe6e730fec936]
- RMP   [Central Tendency] [Totaal % werkzoek...] [2008-10-20 17:34:51] [b635de6fc42b001d22cbe6e730fec936]
- RMPD    [Univariate Explorative Data Analysis] [Univariate EDA-mo...] [2008-10-27 09:49:38] [b635de6fc42b001d22cbe6e730fec936]
- RMP         [Tukey lambda PPCC Plot] [Tukey - Lambda pp...] [2008-10-27 10:02:06] [f4b2017b314c03698059f43b95818e67] [Current]
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Dataseries X:
8.4
8.4
8.4
8.6
8.9
8.8
8.3
7.5
7.2
7.5
8.8
9.3
9.3
8.7
8.2
8.3
8.5
8.6
8.6
8.2
8.1
8
8.6
8.7
8.8
8.5
8.4
8.5
8.7
8.7
8.6
8.5
8.3
8.1
8.2
8.1
8.1
7.9
7.9
7.9
8
8
7.9
8
7.7
7.2
7.5
7.3
7
7
7
7.2
7.3
7.1
6.8
6.6
6.2
6.2
6.8
6.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19172&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19172&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19172&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.66901027402442
Exact Logistic (lambda=0)0.968667844968485
Approx. Normal (lambda=0.14)0.974763753409632
U-shaped (lambda=0.5)0.974197365712467
Exactly Uniform (lambda=1)0.966984053435338

\begin{tabular}{lllllllll}
\hline
Tukey Lambda - Key Values \tabularnewline
Distribution (lambda) & Correlation \tabularnewline
Approx. Cauchy (lambda=-1) & 0.66901027402442 \tabularnewline
Exact Logistic (lambda=0) & 0.968667844968485 \tabularnewline
Approx. Normal (lambda=0.14) & 0.974763753409632 \tabularnewline
U-shaped (lambda=0.5) & 0.974197365712467 \tabularnewline
Exactly Uniform (lambda=1) & 0.966984053435338 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19172&T=1

[TABLE]
[ROW][C]Tukey Lambda - Key Values[/C][/ROW]
[ROW][C]Distribution (lambda)[/C][C]Correlation[/C][/ROW]
[ROW][C]Approx. Cauchy (lambda=-1)[/C][C]0.66901027402442[/C][/ROW]
[ROW][C]Exact Logistic (lambda=0)[/C][C]0.968667844968485[/C][/ROW]
[ROW][C]Approx. Normal (lambda=0.14)[/C][C]0.974763753409632[/C][/ROW]
[ROW][C]U-shaped (lambda=0.5)[/C][C]0.974197365712467[/C][/ROW]
[ROW][C]Exactly Uniform (lambda=1)[/C][C]0.966984053435338[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19172&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19172&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Tukey Lambda - Key Values
Distribution (lambda)Correlation
Approx. Cauchy (lambda=-1)0.66901027402442
Exact Logistic (lambda=0)0.968667844968485
Approx. Normal (lambda=0.14)0.974763753409632
U-shaped (lambda=0.5)0.974197365712467
Exactly Uniform (lambda=1)0.966984053435338



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
gp <- function(lambda, p)
{
(p^lambda-(1-p)^lambda)/lambda
}
sortx <- sort(x)
c <- array(NA,dim=c(201))
for (i in 1:201)
{
if (i != 101) c[i] <- cor(gp(ppoints(x), lambda=(i-101)/100),sortx)
}
bitmap(file='test1.png')
plot((-100:100)/100,c[1:201],xlab='lambda',ylab='correlation',main='PPCC Plot - Tukey lambda')
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tukey Lambda - Key Values',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Distribution (lambda)',1,TRUE)
a<-table.element(a,'Correlation',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Approx. Cauchy (lambda=-1)',header=TRUE)
a<-table.element(a,c[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Exact Logistic (lambda=0)',header=TRUE)
a<-table.element(a,(c[100]+c[102])/2)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Approx. Normal (lambda=0.14)',header=TRUE)
a<-table.element(a,c[115])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'U-shaped (lambda=0.5)',header=TRUE)
a<-table.element(a,c[151])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Exactly Uniform (lambda=1)',header=TRUE)
a<-table.element(a,c[201])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')